SQL uses the `!=` or `<>` operator to check if two values are not equal. This is crucial for filtering data based on specific conditions.
In SQL, comparing values is fundamental to data retrieval and manipulation. One of the most common comparisons is checking if two values are not equal. This is achieved using the 'not equal to' operator. The `!=` operator is the most common way to express this in many SQL dialects, including MySQL, PostgreSQL, and SQL Server. Alternatively, `<>` is also used in some databases. These operators are essential for filtering data based on specific criteria, such as finding all customers who haven't placed an order or identifying products with prices different from a certain threshold. Understanding how to use these operators effectively is crucial for writing efficient and accurate queries. The choice between `!=` and `<>` is largely a matter of personal preference or database convention. However, it's important to be consistent within a project to avoid confusion.
The ability to compare values using 'not equal to' is essential for filtering data in SQL. It allows developers to extract specific subsets of data from a database, which is crucial for reporting, analysis, and decision-making. This operator is a fundamental building block for more complex queries and data manipulation tasks.
The blog post explains that most modern databases accept two symbols for inequality: !=
and <>
. Both evaluate to the same result—returning rows where the two compared values differ—and work in popular engines such as MySQL, PostgreSQL, and SQL Server.
!=
or <>
, and why does consistency matter?Technically you can use either operator in most dialects, so the choice is down to team or company convention. Sticking to one style throughout a project makes queries easier to read, reduces code-review friction, and prevents subtle bugs that arise when mixed conventions slip past peer review.
Galaxy’s context-aware SQL editor autocompletes syntax, highlights inconsistent operator usage, and lets teams endorse a single query as the canonical version. That means you can write !=
(or <>
) faster, enforce the chosen convention across the workspace, and avoid copy-pasting queries into Slack or Notion.